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annotate mercurial/profiling.py @ 30820:6a70cf94d1b5

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py3: replace pycompat.getenv with encoding.environ.get pycompat.getenv returns os.getenvb on py3 which is not available on Windows. This patch replaces them with encoding.environ.get and checks to ensure no new instances of os.getenv or os.setenv are introduced.
author Pulkit Goyal <7895pulkit@gmail.com>
date Sun, 15 Jan 2017 13:17:05 +0530
parents 69acfd2ca11e
children 517bc1cd7033
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1 # profiling.py - profiling functions
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2 #
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3 # Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
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4 #
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5 # This software may be used and distributed according to the terms of the
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6 # GNU General Public License version 2 or any later version.
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7
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8 from __future__ import absolute_import, print_function
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9
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10 import contextlib
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11 import time
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12
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13 from .i18n import _
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14 from . import (
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15 encoding,
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16 error,
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17 util,
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18 )
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19
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20 @contextlib.contextmanager
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21 def lsprofile(ui, fp):
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22 format = ui.config('profiling', 'format', default='text')
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23 field = ui.config('profiling', 'sort', default='inlinetime')
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24 limit = ui.configint('profiling', 'limit', default=30)
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25 climit = ui.configint('profiling', 'nested', default=0)
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26
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27 if format not in ['text', 'kcachegrind']:
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28 ui.warn(_("unrecognized profiling format '%s'"
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29 " - Ignored\n") % format)
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30 format = 'text'
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31
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32 try:
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33 from . import lsprof
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34 except ImportError:
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35 raise error.Abort(_(
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36 'lsprof not available - install from '
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37 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
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38 p = lsprof.Profiler()
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39 p.enable(subcalls=True)
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40 try:
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41 yield
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42 finally:
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43 p.disable()
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44
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45 if format == 'kcachegrind':
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46 from . import lsprofcalltree
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47 calltree = lsprofcalltree.KCacheGrind(p)
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48 calltree.output(fp)
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49 else:
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50 # format == 'text'
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51 stats = lsprof.Stats(p.getstats())
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52 stats.sort(field)
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53 stats.pprint(limit=limit, file=fp, climit=climit)
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54
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55 @contextlib.contextmanager
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56 def flameprofile(ui, fp):
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57 try:
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58 from flamegraph import flamegraph
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59 except ImportError:
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60 raise error.Abort(_(
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61 'flamegraph not available - install from '
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62 'https://github.com/evanhempel/python-flamegraph'))
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63 # developer config: profiling.freq
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64 freq = ui.configint('profiling', 'freq', default=1000)
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65 filter_ = None
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66 collapse_recursion = True
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67 thread = flamegraph.ProfileThread(fp, 1.0 / freq,
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68 filter_, collapse_recursion)
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69 start_time = time.clock()
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70 try:
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71 thread.start()
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72 yield
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73 finally:
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74 thread.stop()
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75 thread.join()
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76 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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77 time.clock() - start_time, thread.num_frames(),
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78 thread.num_frames(unique=True)))
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79
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80 @contextlib.contextmanager
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81 def statprofile(ui, fp):
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82 from . import statprof
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83
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84 freq = ui.configint('profiling', 'freq', default=1000)
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85 if freq > 0:
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86 # Cannot reset when profiler is already active. So silently no-op.
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87 if statprof.state.profile_level == 0:
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88 statprof.reset(freq)
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89 else:
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90 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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91
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92 statprof.start(mechanism='thread')
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93
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94 try:
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95 yield
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96 finally:
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97 data = statprof.stop()
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98
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99 profformat = ui.config('profiling', 'statformat', 'hotpath')
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100
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101 formats = {
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102 'byline': statprof.DisplayFormats.ByLine,
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103 'bymethod': statprof.DisplayFormats.ByMethod,
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104 'hotpath': statprof.DisplayFormats.Hotpath,
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105 'json': statprof.DisplayFormats.Json,
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106 }
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107
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108 if profformat in formats:
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109 displayformat = formats[profformat]
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110 else:
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111 ui.warn(_('unknown profiler output format: %s\n') % profformat)
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112 displayformat = statprof.DisplayFormats.Hotpath
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113
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114 statprof.display(fp, data=data, format=displayformat)
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115
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116 @contextlib.contextmanager
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117 def profile(ui):
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118 """Start profiling.
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119
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120 Profiling is active when the context manager is active. When the context
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121 manager exits, profiling results will be written to the configured output.
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122 """
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123 profiler = encoding.environ.get('HGPROF')
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124 if profiler is None:
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125 profiler = ui.config('profiling', 'type', default='stat')
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126 if profiler not in ('ls', 'stat', 'flame'):
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127 ui.warn(_("unrecognized profiler '%s' - ignored\n") % profiler)
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128 profiler = 'stat'
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129
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130 output = ui.config('profiling', 'output')
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131
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132 if output == 'blackbox':
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133 fp = util.stringio()
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134 elif output:
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135 path = ui.expandpath(output)
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136 fp = open(path, 'wb')
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137 else:
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138 fp = ui.ferr
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139
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140 try:
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141 if profiler == 'ls':
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142 proffn = lsprofile
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143 elif profiler == 'flame':
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144 proffn = flameprofile
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145 else:
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146 proffn = statprofile
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147
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148 with proffn(ui, fp):
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149 yield
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150
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151 finally:
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152 if output:
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153 if output == 'blackbox':
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154 val = 'Profile:\n%s' % fp.getvalue()
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155 # ui.log treats the input as a format string,
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156 # so we need to escape any % signs.
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157 val = val.replace('%', '%%')
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158 ui.log('profile', val)
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159 fp.close()
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160
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161 @contextlib.contextmanager
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162 def maybeprofile(ui):
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163 """Profile if enabled, else do nothing.
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164
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165 This context manager can be used to optionally profile if profiling
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166 is enabled. Otherwise, it does nothing.
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167
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168 The purpose of this context manager is to make calling code simpler:
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169 just use a single code path for calling into code you may want to profile
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170 and this function determines whether to start profiling.
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171 """
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172 if ui.configbool('profiling', 'enabled'):
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173 with profile(ui):
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174 yield
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175 else:
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176 yield